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---
base_model:
- Sao10K/Fimbulvetr-11B-v2
- TheDrummer/Moistral-11B-v3
- Himitsui/MedMitsu-Instruct-11B
- Himitsui/Kaiju-11B
- migtissera/Synthia-v3.0-11B
- jeiku/Re-Host_Limarp_Mistral
library_name: transformers
tags:
- mergekit
- merge
- solar
- llama
- not-for-all-audiences
---
### SyntheticMoist-v2
RP Model, Solar.
Higher density+LimaRP led to better performance, Use Alpaca/Vicuna.
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/nipwgMMVVEWvJqN3TSWZP.png)
# Thanks mradermacher for the quants!
* [GGUF Q2-Q8](https://huggingface.co/mradermacher/SyntheticMoist-11B-v2-GGUF)
* [GGUF imatrix](https://huggingface.co/mradermacher/SyntheticMoist-11B-v2-i1-GGUF)
# Quants
* [GGUF Q6_K](https://huggingface.co/v000000/SyntheticMoist-11B-v2-Q6_K-GGUF)
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2) as a base.
### Models Merged
The following models were included in the merge:
* [TheDrummer/Moistral-11B-v3](https://huggingface.co/TheDrummer/Moistral-11B-v3)
* [Himitsui/MedMitsu-Instruct-11B](https://huggingface.co/Himitsui/MedMitsu-Instruct-11B)
* [Himitsui/Kaiju-11B](https://huggingface.co/Himitsui/Kaiju-11B)
* [migtissera/Synthia-v3.0-11B](https://huggingface.co/migtissera/Synthia-v3.0-11B) + [jeiku/Re-Host_Limarp_Mistral](https://huggingface.co/jeiku/Re-Host_Limarp_Mistral)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Himitsui/MedMitsu-Instruct-11B
parameters:
weight: 0.13
density: 0.60
- model: Himitsui/Kaiju-11B
parameters:
weight: 0.22
density: 0.73
- model: migtissera/Synthia-v3.0-11B+jeiku/Re-Host_Limarp_Mistral
parameters:
weight: 0.28
density: 0.80
- model: TheDrummer/Moistral-11B-v3
parameters:
weight: 0.37
density: 0.85
merge_method: dare_ties
base_model: Sao10K/Fimbulvetr-11B-v2
parameters:
int8_mask: true
dtype: bfloat16
```